The Firm

XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 53,000 financial instruments across equities, fixed income, currencies, commodities, and crypto. It uses those forecasts to trade on exchanges and alternative trading venues, and to offer differentiated liquidity directly to clients worldwide. The firm trades over USD $250bn a day across 35 countries and has over 300 employees based in London, Singapore, New York, Paris, Bristol, Mumbai, Yerevan and Kajaani.

We leverage the talent of our team, modern computational techniques, and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, maximizing the effectiveness of our proprietary trading algorithms. We are actively seeking new methods and ideas. The models that drive our trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures.

XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing over 25,000 GPUs with more than 1 exabyte of usable storage. Teams across the firm include world-class researchers, developers and technologists with backgrounds in pure math, programming, physics, computer science and machine learning. The firm is also constructing a large-scale data centre in Finland to future-proof its significant computational capabilities.

At XTX Markets, technology is our business, and we are a diverse organization which attracts outstanding talent from across all industry backgrounds. We are focused on teamwork, and our people collaborate on all aspects of the business, working openly and with respect for each other, our clients and the market. Our culture is non-hierarchical and one where everyone is valued. We strive for excellence in everything we do.

The Role

The Quality Engineer, Data Center Operations is responsible for ensuring operational excellence, reliability, quality assurance and continuous improvement across data center operations.

The role establishes and maintains effective quality-management practices, monitors operational performance, supports the transition of new infrastructure into live operations, drives corrective actions and lessons learned, and supports compliance with applicable national and European Union legislation, regulations and standards.

Working closely with data center operations, engineering, environmental, health and safety, security, sustainability, legal, and management teams, the Quality Engineer ensures that operational processes are consistently documented, measured, controlled, challenged and improved.

Operational Quality Management

Develop, implement, and maintain an effective and proportionate quality-management framework for data center operations.
Ensure that operational procedures, including MOPs, SOPs and EOPs, work instructions, control measures, and technical documentation are accurate, consistent, and up to date.
Monitor compliance with approved operational processes, service requirements, quality standards, and internal policies.
Conduct regular operational quality reviews, inspections, process assessments, and internal audits.
Identify quality-related risks, process gaps, recurring incidents and alarms, and improvement opportunities.
Support operational readiness activities, including commissioning, handover and transition of new or expanded data center infrastructure into live operations.
Monitor supply-chain partners and on-site contractors to ensure adherence to quality benchmarks and agreed operational standards.
Review the quality and effectiveness of maintenance activities and operational change-management processes.

Regulatory Compliance and Reporting

Work with Legal and other relevant functions to understand applicable national and European Union regulatory requirements affecting data center operations.